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Amazon DVA-C02 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Deployment	24%	- Deploy applications on AWS 1. Perform safe updates and rollbacks 2. Deploy to AWS Lambda, Amazon EC2, Elastic Beanstalk - Prepare application artifacts for deployment 1. Use infrastructure as code (AWS CloudFormation, AWS SAM) 2. Package code and dependencies - Implement CI/CD pipelines 1. Use AWS CodePipeline, CodeBuild, CodeDeploy 2. Automate deployment and testing workflows
Topic 2: Security	26%	- Apply security best practices 1. Follow AWS Well-Architected Framework security principles 2. Validate application security configurations - Implement authentication and authorization 1. Use Amazon Cognito for identity management 2. Manage IAM roles, policies, and permissions - Secure application data 1. Manage secrets and credentials securely 2. Implement encryption at rest and in transit
Topic 3: Troubleshooting and Optimization	18%	- Optimize application performance 1. Improve latency and throughput 2. Optimize resource usage and costs - Troubleshoot application issues 1. Use Amazon CloudWatch, AWS X-Ray for monitoring 2. Analyze logs, metrics, and traces - Debug and resolve errors 1. Identify and fix code defects 2. Resolve integration and configuration problems
Topic 4: Development with AWS Services	32%	- Interact with AWS data services 1. Work with Amazon DynamoDB, Amazon S3 2. Implement caching and data storage strategies - Integrate AWS services into applications 1. Use AWS Lambda, API Gateway, Amazon EventBridge 2. Implement messaging and event-driven workflows - Write code for applications hosted on AWS 1. Implement architectural patterns 2. Use AWS SDKs and APIs 3. Develop serverless applications

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Amazon AWS Certified Developer - Associate Sample Questions (Q747-Q752):

NEW QUESTION # 747
A company has an application that runs across multiple AWS Regions. The application is experiencing performance issues at irregular intervals. A developer must use AWS X-Ray to implement distributed tracing for the application to troubleshoot the root cause of the performance issues.
What should the developer do to meet this requirement?

A. Use Region annotation that X-Ray adds automatically for AWS services Add Region annotation for user-defined services
B. Use the X-Ray daemon to add annotations for AWS services and user-defined services
C. Use the X-Ray console to add annotations for AWS services and user-defined services
D. Use Region annotation that X-Ray adds automatically for user-defined services Configure X-Ray to add Region annotation for AWS services

Answer: A

Explanation:
* Distributed Tracing with X-Ray: X-Ray helps visualize request paths and identify bottlenecks in applications distributed across Regions.
* Region Annotations (Automatic for AWS Services): X-Ray automatically adds a Region annotation to segments representing calls to AWS services. This aids in tracing cross-Region traffic.
* Region Annotations (Manual for User-Defined): For segments representing calls to user-defined services in different Regions, the developer needs to add the Region annotation manually to enable comprehensive tracing.

NEW QUESTION # 748
A developer is updating an Amazon API Gateway REST API to have a mock endpoint. The developer wants to update the integration request mapping template so the endpoint will respond to mock integration requests with specific HTTP status codes based on various conditions.

A. { if( $input.path("integration") ) "statusCode": 200 else "statusCode":404 end }
B. { if( $input.params('integration') == "mock" ) "statusCode": 404 else "statusCode": 500 end }
C. { if( $context.integration.status ) "statusCode": 200 else "statusCode": 500 end }
D. { if( $input.params('scope') == "internal" ) "statusCode": 200 else "statusCode": 500 end }

Answer: C

Explanation:
Comprehensive Detailed Step by Step Explanation with All AWS Developer Reference:
In this scenario, the developer is configuring a mock integration in API Gateway. The integration request mapping template allows you to map the incoming request data to a format that the API expects. For mock integration, it's common to return specific HTTP status codes based on the conditions.
Using $context.integration.status: The $context.integration.status variable refers to the status of the API Gateway integration, which is useful for generating responses based on the condition. Option D correctly uses this variable to determine the HTTP status code, returning 200 for a successful mock request or 500 for a failure.
Alternatives:
Options A, B, and C do not use the correct context variables for handling mock integrations. These options would not return the correct status codes based on the actual integration status.
Reference:
API Gateway Mapping Templates and Accessing Context Variables

NEW QUESTION # 749
A company is using an AWS Lambda function to process records from an Amazon Kinesis data stream. The company recently observed slow processing of the records. A developer notices that the iterator age metric for the function is increasing and that the Lambda run duration is constantly above normal.
Which actions should the developer take to increase the processing speed? (Choose two.)

A. Decrease the timeout of the Lambda function.
B. Decrease the number of shards of the Kinesis data stream.
C. Increase the number of shards of the Kinesis data stream.
D. Increase the memory that is allocated to the Lambda function.
E. Increase the timeout of the Lambda function.

Answer: C,D

NEW QUESTION # 750
A developer is migrating a containerized application from an on-premises environment to the AWS Cloud. The developer is using the AWS CDK to provision a container in Amazon ECS on AWS Fargate. The container is behind an Application Load Balancer (ALB).
When the developer deploys the stack, the deployment fails because the ALB fails health checks. The developer needs to resolve the failed health checks.
Which solutions will meet this requirement? (Select TWO.)

A. Confirm that a hosted zone associated with the ALB matches a hosted zone that is referenced in the ECS task definition.
B. Confirm that the capacity providers for the container have been provisioned and are properly sized.
C. Confirm that the ALB listener on the mapped port has a default action that forwards to the correct target group.
D. Confirm that the target group port matches the port mappings in the ECS task definition.
E. Confirm that the ALB listener on the mapped port has a default action that redirects to the application's health check path endpoint.

Answer: C,D

Explanation:
* Option B: The target group port in the ALB must match the port specified in the ECS task definition.
If there is a mismatch, the ALB health check will fail since it cannot correctly route traffic to the container.
* Option E: The ALB listener must have a default action that forwards requests to the correct target group associated with the ECS service. If this configuration is missing, the health check will fail as no traffic is routed to the service.
* Option A is irrelevant to resolving health check issues since capacity providers relate to provisioning compute capacity.
* Option C (hosted zone) is not directly related to ALB health checks.
* Option D (redirecting traffic) is not related to ECS health check configurations.

NEW QUESTION # 751
A company has a multi-node Windows legacy application that runs on premises. The application uses a network shared folder as a centralized configuration repository to store configuration files in .xml format. The company is migrating the application to Amazon EC2 instances. As part of the migration to AWS, a developer must identify a solution that provides high availability for the repository.
Which solution will meet this requirement MOST cost-effectively?

A. Mount an Amazon Elastic Block Store (Amazon EBS) volume onto one of the EC2 instances. Deploy a file system on the EBS volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
B. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Mount the S3 bucket to the EC2 instances as a local volume. Update the application code to read and write configuration files from the disk.
C. Deploy a micro EC2 instance with an instance store volume. Use the host operating system to share a folder. Update the application code to read and write configuration files from the shared folder.
D. Create an Amazon S3 bucket to host the repository. Migrate the existing .xml files to the S3 bucket. Update the application code to use the AWS SDK to read and write configuration files from Amazon S3.

Answer: D

NEW QUESTION # 752
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